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Field
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realism and interpretability? You will join the Choice Modelling Centre to develop AI-assisted methods for specifying, estimating and validating discrete choice models. The project aims to bring together
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Networks (GNN)/Grid Foundation Models and/or probabilistic methods and Monte Carlo simulation; - Programming knowledge in Python; . Research FieldEngineering » Computer engineeringYears of Research
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: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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• Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology, or related disciplines. • Has good understanding of discrete choice experiments and model estimation
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computational methods for single-cell and genomic data analysis, in collaboration with the lab’s methods-development efforts. • Develop and apply flow cytometry, molecular biology, and cell biology assays
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demonstrate experience in animal behaviour research, ideally in aquatic species, together with practical skills in video-based behavioural analysis and/or applying computer vision or machine learning methods
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of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
estimating treatment effects in the presence of intercurrent events whose occurrence may itself carry prognostic information. Methods of interest could include survivor average causal effect (SACE) estimators
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mixed-methods research studies related to AI literacy and human-AI interaction. Develop and test AI-enabled interventions and output design features using Generative AI and chatbot platforms. Conduct
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology